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Refer to the probability histogram in Section 3.2 Exercise 30 of the text. Look at the probability histogram and use the ""guideline for determining the shape of a binomial probability distribution"" to determine its shape. The values of n and p are the same as in Exercise 26 from this section. a. skewed left b. skewed right c. approximately symmetric (or normal) d. approximately uniform

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I apologize for any inconvenience, but I don't have access to specific sections or exercises from copyrighted textbooks as my knowledge is based on publicly available information up to September 2021. To determine the shape of a binomial probability distribution, you can use the following guideline:

1. If p (the probability of success) is much larger than 0.5 and n (the number of trials) is sufficiently large, the distribution is approximately symmetric (or normal).

2. If p is much smaller than 0.5 and n is sufficiently large, the distribution is also approximately symmetric (or normal) but skewed to the right.

3. If p is close to 0.5 and n is moderate to large, the distribution is approximately symmetric (or normal).

4. If n is small and p is not extremely close to 0 or 1, the distribution may be skewed, but the direction of skewness (left or right) depends on the value of p.

Without specific values for n and p from Exercise 26, it's challenging to determine the exact shape of the probability histogram. However, you can use the guideline above and the given values of n and p to make an educated guess about the shape of the binomial probability distribution.

Explanation:

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User Shahzeb Akram
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